Decision Support System For Selecting The Best Lecturer Using The Simple Additive Weighting (Saw) Method

Andrian Syahputra; Deny Adhar; Abdul Meizar; Elida Tuti  Siregar; Nurhayati; Lepia Wulandari; Aulia Nurul Ramadhani  Siagian

doi:10.59934/jaiea.v4i3.1081

Authors

Andrian Syahputra Universitas Muhammadiyah Asahan
Deny Adhar Universitas Muhammadiyah Asahan
Abdul Meizar Politeknik Gihon
Elida Tuti Universitas Potensi Utama
Nurhayati Universitas Potensi Utama
Lepia Wulandari LP3I
Aulia Nurul Ramadhani Universitas Muhammadiyah Asahan

DOI:

https://doi.org/10.59934/jaiea.v4i3.1081

Keywords:

Decision Support System; Lecturer Performance Evaluation; SAW; Simple Additive Weighting; Teaching Quality

Abstract

The selection of the best lecturer at Politeknik LP3I Medan Marelan has traditionally been conducted manually, lacking clear evaluation criteria. This results in subjective judgments and reduced transparency. This research proposes a decision support system (DSS) based on the Simple Additive Weighting (SAW) method to enhance the objectivity and fairness of the selection process. The system evaluates lecturers using multiple criteria: teaching quality, discipline, and peer assessment. Each criterion is weighted according to its institutional importance, and a final ranking is produced based on aggregated normalized scores. The implementation of the SAW-based DSS demonstrates improved decision accuracy, transparency, and fairness in lecturer evaluation. The system offers an effective solution to support academic decision-making and could serve as a reference model for other higher education institutions.

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